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1. N. Alon and M. Tarsi Colorings and orientations of graphs, Combinatorica, 12(2): 125 134, 1992. 2. J. Bondy and U. Murty, Graph Theory with Applications, London: Macmillan, 1976. 3. A. Borodin and R. El-Yaniv, Online Computation and Competitive Analysis, Cambridge: Cambridge University Press, 1998. 4. I. Caragiannis, C. Kaklamanis, and E. Papaionnou, Efficient online communication in cellular networks, in Symposium on Parallel Algorithms and Architecture, Bar Harbor, ME: ACM Press, 2000. 5. D. C. Cox and D. O. Reudink, Dynamic channel assignment in two dimension large-scale mobile radio systems, Bell Sys. Tech. J., 51: 1611 28, 1972. 6. P. Cresenzi, G. Gambosi, and P. Penna, Online algorithms for the channel assignment problem in cellular networks, in Proceedings of Dial M for Mobility, Boston: ACM Press, 2000. 7. S. Engel and M. M. Peritsky, Statistically-optimum dynamic server assignment in systems with interfering servers, IEEE Transactions on Vehicular Technology, 22: 203 209, 1973. 8. P. Erdos, A. L. Rubin, and H. Taylor, Choosability in graphs, in Proceedings of the West Coast Conference on Combinatorics, Graph Theory, and Computing, pp. 125 157, 1979. 9. T. Feder and S. M. Shende, Online channel allocation in FDMA networks with reuse constraints, Inform. Process. Lett., 67(6): 295 302, 1998. 10. A. Gamst, Some lower bounds for a class of frequency assignment problems, IEEE Trans. Veh. Technol., 35(1): 8 14, 1986. 11. N. Garg, M. Papatriantafilou, and T. Tsigas, Distributed list coloring: how to dynamically allocate frequencies to mobile base stations, in Symposium on Parallel and Distributed Processing, pp. 18 25, 1996. 12. A. Graf, M. Stumpf, and G. Weibenfels, On coloring unit disk graphs, Algorithmica, 20: 277 293, 1998.

Statement of Changes to Individual Working Capital Accounts for the Year Ended December 31, 0007

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In addition to storing power on a wireless node, in certain circumstances power can be distributed to the node from a nearby energy-rich source. It is dif cult to characterize the effectiveness of power-distribution methods by the same metrics (power or energy density), because in most cases the power received at the node is more a function of how much power is emitted rather than the size of the power receiver at the node. Nevertheless, an effort is made to characterize the effectiveness of a few power distribution methods as they apply to wireless sensor networks. 3.4.1 Electromagnetic (RF) Power Distribution

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online, analysed the importance of double salts in the atmosphere. They found that for a mixed NH4 /SO4 /NO3 /H2 O system, model calculations that do not include double salt formation predict an aqueous phase to persist until lower RH. The equilibrium constants for these salts are a function of RH (water vapour pressure), and there is a dissociation pressure associated with each salt [113].

Bike.prototype.roll = function() {this._x = _x + 20;};

probably mean the power expressed in dBW. We might discuss the velocities of two cars. The velocity of car 1 may be expressed as V1 , and the velocity of car 2 as V2 . The use of the subscript allows us to distinguish between the two cars. Subscripts are used widely in the text. Independent and Dependent Variables. In the selection of symbols to solve a particular problem, we must distinguish between constants and variables speci c to the problem at hand. Consider the volume of a circular cone where we keep its height constant (h). The formula for its volume is V pr2 h/ 3, where r is the radius of the base circle. The height, h, of course, is constant for this problem, and just for this problem alone. It is referred to as a parameter. The radius, r, is the independent variable and V is the dependent variable.

Use of timestamps in dealing with deadlocks is basically the same for both centralized and distributed DBMSs. We discussed how global timestamps are generated in distributed systems brie y in Section 6.2.2 (for further details, see the timestamp-based concurrency control section in 5). We also discussed how age could be used as a tiebreaker for con icting transactions for a centralized system in Section 6.2.2. In a distributed system, we will rely on the global timestamps and use a relative order based on age among all transactions in the system. As discussed, this can be achieved using a combination of site ID and local logical clock readings to guarantee global uniqueness as well as age fairness. Therefore, with respect to relative age of transactions, the global timestamps are good indicators and can be used in the wait die and the wound wait algorithms. Because data is distributed in a DDBMS, the transaction processing is also distributed. This means that the same transaction might require processing at multiple sites within the DDBE. Because of this, there are two main issues that we have to deal with when implementing deadlock handling algorithms in a distributed database system.

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